Universitat de Girona
Ministerio de Economía y Competitividad (Espanya)
2017-02
Pòster de congrés presentat a: 10th International Conference on Advanced Technologies and Treatments for Diabetes (ATTD 2017), celebrat a París del 15 al 18 de febrer de 2017
Postprandial glucose fluctuations are a challenge to daytime closed-loop control1,2 in type 1 diabetes (T1D). It is predicted that the high number of missed meal boluses experienced during insulin pump therapy3 will carry over to artificial pancreas therapy. Therefore, a means to reduce poor outcomes due to unannounced meals must be developed. The aim of this study is to implement an algorithm to detect meals using data from a continuous glucose monitor (CGM) and the insulin delivered to the subject
DPI2013-46982-1-R/2-R, R, Feder Funds
Objecte de conferència
Anglès
Intel·ligència artificial -- Aplicacions a la medicina -- Congressos; Artificial intelligence -- Medical applications -- Congresses; Pàncrees artificial -- Congressos; Artificial pancreas -- Congresses; Diabetis -- Tractament -- Congressos; Diabetes -- Treatment -- Congresses; Insulina -- Congressos; Insuline -- Congresses
ATTD
DPI2013‐46982‐C2‐2‐R
info:eu-repo/grantAgreement/MINECO//DPI2013-46982-C2-2-R/ES/NUEVOS METODOS PARA LA EFICIENCIA Y SEGURIDAD DEL PANCREAS ARTIFICIAL DOMICILIARIO EN DIABETES TIPO 1/
Tots els drets reservats
